GeoSeries.
within
Returns a Series of dtype('bool') with value True for each aligned geometry that is within other.
Series
dtype('bool')
True
An object is said to be within other if its boundary and interior intersects only with the interior of the other (not its boundary or exterior).
This is the inverse of contains() in the sense that the expression a.within(b) == b.contains(a) always evaluates to True.
contains()
a.within(b) == b.contains(a)
The operation works on a 1-to-1 row-wise manner:
The GeoSeries (elementwise) or geometric object to test if each geometry is within.
If True, automatically aligns GeoSeries based on their indices. If False, the order of elements is preserved.
See also
GeoSeries.contains
Notes
This method works in a row-wise manner. It does not check if an element of one GeoSeries is within any element of the other one.
Examples
>>> from shapely.geometry import Polygon, LineString, Point >>> s = geopandas.GeoSeries( ... [ ... Polygon([(0, 0), (2, 2), (0, 2)]), ... Polygon([(0, 0), (1, 2), (0, 2)]), ... LineString([(0, 0), (0, 2)]), ... Point(0, 1), ... ], ... ) >>> s2 = geopandas.GeoSeries( ... [ ... Polygon([(0, 0), (1, 1), (0, 1)]), ... LineString([(0, 0), (0, 2)]), ... LineString([(0, 0), (0, 1)]), ... Point(0, 1), ... ], ... index=range(1, 5), ... )
>>> s 0 POLYGON ((0.00000 0.00000, 2.00000 2.00000, 0.... 1 POLYGON ((0.00000 0.00000, 1.00000 2.00000, 0.... 2 LINESTRING (0.00000 0.00000, 0.00000 2.00000) 3 POINT (0.00000 1.00000) dtype: geometry
>>> s2 1 POLYGON ((0.00000 0.00000, 1.00000 1.00000, 0.... 2 LINESTRING (0.00000 0.00000, 0.00000 2.00000) 3 LINESTRING (0.00000 0.00000, 0.00000 1.00000) 4 POINT (0.00000 1.00000) dtype: geometry
We can check if each geometry of GeoSeries is within a single geometry:
>>> polygon = Polygon([(0, 0), (2, 2), (0, 2)]) >>> s.within(polygon) 0 True 1 True 2 False 3 False dtype: bool
We can also check two GeoSeries against each other, row by row. The GeoSeries above have different indices. We can either align both GeoSeries based on index values and compare elements with the same index using align=True or ignore index and compare elements based on their matching order using align=False:
align=True
align=False
>>> s2.within(s) 0 False 1 False 2 True 3 False 4 False dtype: bool
>>> s2.within(s, align=False) 1 True 2 False 3 True 4 True dtype: bool